Tukums vs Staiceles Bebri: result 7-2 and analysis
1. LigaRegular Season - 13Kick-off on June 18, 2016 at 01:00 PM (UTC)Tukuma mākslīgā laukumā stadions, Tukums
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What was the result of Tukums vs Staiceles Bebri?
Tukums won 7-2 on June 18, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tukums have 8 wins, 0 draws and 7 defeats; Staiceles Bebri have 5, 0 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 11, 2016 | JDFS Alberts(away) | 5-0 | 1. Liga |
| Jun 4, 2016 | Smiltene(away) | 1-8 | 1. Liga |
| May 29, 2016 | Ogre(away) | 2-1 | 1. Liga |
| May 22, 2016 | Olaine / Super Nova(away) | 0-2 | 1. Liga |
| May 14, 2016 | Preiļu BJSS(home) | 5-1 | 1. Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 11, 2016 | Smiltene(home) | 0-3 | 1. Liga |
| Jun 5, 2016 | Ogre(away) | 0-1 | 1. Liga |
| May 29, 2016 | Olaine / Super Nova(home) | 1-0 | 1. Liga |
| May 22, 2016 | Preiļu BJSS(away) | 3-2 | 1. Liga |
| May 14, 2016 | Auda(away) | 1-2 | 1. Liga |
What does the head-to-head say?
Across the last 2 meetings: 2 Tukums wins, 0 draws, 0 Staiceles Bebri wins.
| Date | Score | Competition |
|---|---|---|
| Sep 19, 2015 | Tukums 1-0 Staiceles Bebri | 1. Liga |
| May 16, 2015 | Staiceles Bebri 0-4 Tukums | 1. Liga |
Last archived meeting: Tukums vs Staiceles Bebri on Sep 19, 2015
How many goals should we expect?
Tukums score 2.9 and concede 2.4 goals per match over their last 15; Staiceles Bebri score 1.5 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tukums | 2.9 | 2.4 | 2 | 9/15 | 14/15 |
| Staiceles Bebri | 1.5 | 2.2 | 3 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Tukums vs Staiceles Bebri?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy